{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "name": "How can I make AI prospect scoring accurate enough to trust?",
  "description": "Define qualification criteria and disqualifiers before scoring. Require fields for fit, need signal, source, recency, and confidence, then compare scores with h",
  "url": "https://runmyaibusiness.com/faq/how-can-i-make-ai-prospect-scoring-accurate-enough-to-trust",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "How can I make AI prospect scoring accurate enough to trust?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Start by defining what a qualified prospect means for your business, then assign consistent fields such as industry, size, location, need signal, decision-maker role, source, and confidence. Use scoring to prioritize review, not to make automatic judgments. Test the score against a sample of accounts and adjust it when high-ranked prospects are poor fits. Keep disqualifiers visible so the system does not reward volume alone. Run My AI Biz’s task-specific assistant model can organize this process around the workflow you actually use.",
        "description": "Define qualification criteria and disqualifiers before scoring. Require fields for fit, need signal, source, recency, and confidence, then compare scores with human judgments on a sample. Revise the model when high-ranked accounts do not produce relevant conversations."
      }
    }
  ],
  "speakable": {
    "@type": "SpeakableSpecification",
    "cssSelector": [
      "h1",
      ".faq-question",
      ".faq-answer",
      "[itemprop=\"acceptedAnswer\"]"
    ]
  }
}